Sandrine Dudoit Dept of Statistics School of Public Health statistics, machine learning, data science, applied statistics, statistical computing, computational biology, computational genomics, Precision Medicine, precision health
Ryan Tibshirani Dept of Statistics statistical computing, applications in public health, high-dimensional data analysis, nonparametric inference, artificial intelligence, machine learning
Adityanand Guntuboyina Dept of Statistics nonparametric and high-dimensional statistics, shape constrained statistical estimation, empirical processes, statistical information theory
Peng Ding Dept of Statistics Statistical causal inference, missing data, Bayesian statistics, applied statistics
Nikita Zhivotovskiy Dept of Statistics mathematical statistics, applied probability, statistical learning theory
Kannan Ramchandran Division of Computer Science (EECS) Division of Electrical Engineering (EECS) statistical and sparse signal processing, adversarial and distributed machine learning, coded computing, privacy and security, scalable distributed video-on-demand delivery, coding theory, communications, information theory, peer-to-peer networking, blockchains
Anthony D. Joseph Division of Computer Science (EECS) internet security, mobile/distributed computing, wireless communications, networking and telephony
Peter Bartlett Dept of Statistics Division of Computer Science (EECS) machine learning, statistical learning theory, adaptive control
Jennifer Listgarten Division of Computer Science (EECS) artificial intelligence, machine learning, computational biology, protein engineering, statistical design of experiments, statistical machine learning, experimental design
Ming Gu Dept of Mathematics mathematics, scientific computing, numerical linear algebra, convex optimization
James Demmel Dept of Mathematics Division of Computer Science (EECS) computer science, scientific computing, numerical analysis, linear algebra
John F. Canny Division of Computer Science (EECS) computer science, activity-based computing, livenotes, mechatronic devices, flexonics
Sayeef Salahuddin Division of Electrical Engineering (EECS) physical electronics, design and modeling and analysis, energy, scientific computing
Alistair Sinclair Dept of Statistics Division of Electrical Engineering (EECS) algorithms, applied probability, statistics, random walks, Markov chains, computational applications of randomness, Markov chain Monte Carlo, statistical physics, combinatorial optimization
John Chuang Division of Electrical Engineering (EECS) School of Information climate informatics, biosensory computing, brainwave authentication, information economics and policy
John Wawrzynek Division of Electrical Engineering (EECS) computer architecture, reconfigurable computing, wireless systems, integrated circuit and system design
Karthik Shekhar Dept of Chemical & Biomolecular Engineering cellular and systems biology, statistical inference, single-cell genomics
Alexandre Mas Haas School of Business labor markets, human resources, data analysis and statistical methods
Oskar Hallatschek Dept of Physics biophysics, evolutionary dynamics, soft matter, statistical physics, theory and experiments
Shafi Goldwasser Division of Computer Science (EECS) cryptography, computational number theory, complexity theory, fault tolerant distributed computing, probabilistic proof systems, approximation algorithms, theory(THY)
Alan Hubbard School of Public Health causal inference, targeted learning, statistical issues in epidemiology, precision medicine and public health
Michael DeWeese Dept of Neuroscience Dept of Physics machine learning, computation, systems neuroscience, auditory cortex, neural coding, statistical mechanics
Sandrine Dudoit
